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quantitative data analysis. A keen interest in working across scientific disciplines, including physics, chemistry and biology; Excellent interpersonal and communication skills in English, both written and
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analysis of perception data using digital and GIS tools; 2. Intergroup Perception and Interaction – contributing to the analysis of behavioural and survey data on public space use and perception; 3
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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individual meetings. • Present data and findings to research groups in the University and at national meetings. Qualifications Minimum Qualifications: PhD in a relevant field (Biochemistry, Molecular
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or analysis tools · Proficiency in, or a strong interest in learning computational data analysis. Additional Qualifications Special Instructions Required documents: · CV · Research summary of PhD work · Cover
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-driven research. Lead and support multi-omics data analysis, including microbiome (16S, metagenomics, metatranscriptomics), bulk and single-cell/spatial transcriptomics, proteomics, metabolomics, and
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(overturning) in the Nordic Seas and subpolar North Atlantic. The PhD project will rely on the analysis of available observations, data from high-resolution models and reanalyses, Lagrangian simulations, and new
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, evidence synthesis, and quantitative data analysis, enabling the development of targeted and exploratory indicators for monitoring tobacco exposure and chronic disease trends at the population level. You
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will